EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected water quality conditions. This approach uses multiple algorithms to model the relationship between various multivariate water quality signals. Then the residuals of the models were utilized in constructing the event detection algorithm, which provides a continuous measure of the probability of an event at every time step. The proposed framework was tested for water contamination events with industrial data from automated water quality sensors. The results showed that the framework is reliable with better performance and is highly suitable for event detection.

翻译：事件检测:一个能探测出意外水质条件的高效事件检测系统(EDS),该方法使用多种算法模拟各种多变量水质信号之间的关系,然后模型的剩余部分用于构建事件检测算法,该算法连续不断地测量每一步发生事件的概率。拟议框架用自动水质传感器提供的工业数据测试了水污染事件。结果显示,框架可靠,性能更好,非常适合检测事件。